{
    "byline": null,
    "charset": "UTF-8",
    "dir": null,
    "excerpt": "I spent a few hours last weekend testing whether AI can replace code by executing directly. Built a contact manager where every HTTP request goes to an LLM with three tools: database (SQLite), webResponse (HTML/JSON/JS), and updateMemory (feedback). No routes, no controllers, no business logic. The AI designs schemas on first request, generates UIs from paths alone, and evolves based on natural language feedback. It works\u2014forms submit, data persists, APIs return JSON\u2014but it's catastrophically slow (30-60s per request), absurdly expensive ($0.05/request), and has zero UI consistency between requests. The capability exists; performance is the problem. When inference gets 10x faster, maybe the question shifts from \"how do we generate better code?\" to \"why generate code at all?\"",
    "lang": null,
    "length": 962,
    "publishedTime": null,
    "siteName": null,
    "title": ""
}